mona.object {cluster} | R Documentation

## Monothetic Analysis (MONA) Object

### Description

The objects of class `"mona"` represent the divisive hierarchical clustering of a dataset with only binary variables (measurements). This class of objects is returned from `mona`.

### Value

A legitimate `mona` object is a list with the following components:

`data` | matrix with the same dimensions as the original data matrix, but with factors coded as 0 and 1, and all missing values replaced.
`order` | a vector giving a permutation of the original observations to allow for plotting, in the sense that the branches of a clustering tree will not cross.
`order.lab` | a vector similar to `order`, but containing observation labels instead of observation numbers. This component is only available if the original observations were labelled.
`variable` | vector of length n-1 where n is the number of observations, specifying the variables used to separate the observations of `order`.
`step` | vector of length n-1 where n is the number of observations, specifying the separation steps at which the observations of `order` are separated.

### METHODS

The `"mona"` class has methods for the following generic functions: `print`, `summary`, `plot`.

### See Also

`mona` for examples etc, `plot.mona`.

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